Mobile Phone Data

Task Team of the UN Committee of Experts on Big Data and Data Science for Official Statistics

About Mobile Phone Data

Introduction

The rapid growth in mobile phone penetration globally has created new opportunities for using mobile phone data (MPD) in official statistics, providing insights into population mobility, disaster and emergency response, tourism, migration and in information society monitoring. MPD presents unique benefits for real-time data collection, enhancing the ability of national statistical offices (NSOs) to provide timely and disaggregated statistics at high spatial and temporal granularity. Recognizing this potential, the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) Task Team on MPD has been working together since 2017 to explore the applications of MPD as critical resource for strengthening official statistics systems.

Aligned with the mandate of the UN Statistical Commission, the UN-CEBD's mission includes supporting NSOs in adopting and integrating innovative data sources such as MPD. The MPD Task Team (TT-MPD) is formed to promote best practices, facilitate collaboration, and establish standards that ensure the ethical, safe, and high-quality use of MPD in official statistics (see the Terms of Reference of the Task Team).

Given the technical, ethical, and operational challenges in using MPD, TT-MPD aims to bridge gaps in knowledge, standardize approaches, and address critical issues around data privacy and data quality. By fostering international cooperation and providing targeted support to NSOs, TT-MPD supports the responsible use of MPD in official statistics, by developing Guidelines outlining methodologies and best practices.

Objectives

To guide, develop, and promote the responsible and ethical use of MPD in official statistics, supporting NSOs with standards, methodologies, and resources for effective data integration.

Specific Objectives:

  1. Develop a comprehensive framework for the ethical and privacy-preserving use of MPD for official statistics.
  2. Create technical guidelines and capacity-building resources that NSOs can utilize to integrate MPD into official statistics.
  3. Build a collaborative network among technical experts, NSOs, policymakers, and other stakeholders to support the use of MPD in official statistics.

Scope of Work:

  1. Standards and Frameworks: Produce guidelines on methods, technologies, and tools for utilizing MPD for official statistics.
  2. Capacity Building: Organize workshops, training sessions, and resources to build NSO capacity in using MPD.
  3. Collaboration and Partnerships: Foster partnerships with experts, data practitioners, international organizations and non-profit organizations to access and utilize MPD.
  4. Research and Innovation: Promote research on novel applications of MPD, including in areas like urbanization, migration, crisis response, social protection and AI/Machine Learning methods.

Regional Hub webinars

  • Use of mobile phone data for public policies
    18 June 2024
  • Using Mobile Phone Data on Trending Topics
    03 August 2023
  • Mobile Phone Data Access for Official Statistics
    06 July 2023
  • Using Mobile Phone Data for Official Statistics on Transportation and Commuting
    01 June 2023
  • Using Mobile Phone Data for Official Statistics on Information Society
    04 May 2023
  • Using Mobile Phone Data on Displacement and Disaster Statistics
    06 April 2023
  • Using Mobile Phone Data for Official Statistics on Population
    09 March 2023
  • Using Mobile Phone Data for Official Statistics on Tourism
    09 February 2023
  • Using Mobile Phone Data for Official Statistics on Migration
    15 December 2022
  • Using Mobile Phone Data for Official Statistics: Opportunities and Challenges
    06 October 2022
  • Leveraging Mobile Phone Big Data for Information Society Statistics: Successes, Challenges, and Future Direction: Part-2
    18 July 2024
  • Leveraging Mobile Phone Big Data for Information Society Statistics: Successes, Challenges, and Future Direction: Part-1
    16 May 2024
  • From Mobile Phone Data to Transport and Commuting Statistics
    11 April 2024
  • Dynamic Population Mapping Using Mobile Phone Data
    21 March 2024
  • Opportunities and Challenges of Using MPD for Official Statistics
    08 February 2024
  • Use cases of Mobile Phone Data (MPD) for Official statistics
    16 November 2023

Publications

Handbook on the use of Mobile Phone data for Official Statistics (2019)

Deliverables

The Task Team aims to achieve the following goals in 2025:

  1. Review and elaborate the methodological guides on migration, tourism, and transport.
  2. Develop guides on new areas included under research and innovation.
  3. Continue the development of synthetic data for various applications of MPD for official statistics, such as migration patterns, population mobility, tourism, transport, information society.
  4. Finalize the training materials for the MPD Project Manager.
  5. Develop a pseudocode guide for using MPD in official statistics outlining clear, step-by-step procedures across the six key areas defined in the published MPD Guides.
  6. Delivery of capacity building in countries. Key topics will include technical methodologies ensuring that countries can integrate MPD into their statistical systems. This can be done in the context of the GDF-MPD Cohort 1 countries.
  7. Build a comprehensive repository of country use cases of use of MPD for official statistics or other applications in policymaking.

Task Team members

Countries

  • Brazil
  • Colombia
  • Gambia
  • Georgia
  • Ghana
  • India
  • Indonesia
  • Italy
  • Japan
  • Kazakhstan
  • Republic of Korea
  • Malaysia
  • Mexico
  • Netherlands
  • New Zealand
  • Oman
  • Philippines
  • Qatar
  • Romania
  • Saudi Arabia
  • UAE
  • Viet Nam

Agencies

  • Eurostat
  • IMF
  • IOM
  • ITU (Chair)
  • UN-ECE
  • UN-EOSG
  • UN-ESCWA
  • UNFPA
  • UNSD
  • UNWTO
  • World Bank

Other

  • Flowminder
  • GOPA
  • GPSDD
  • GSMA
  • Indian School of Business
  • Nommon
  • Positium
  • University of Tokyo, Spatial Data Commons